Project Grant 2204850
- This $249,250 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an AI coaching system to enhance surgical teamwork in cardiac operating rooms. Over four years, researchers at the Massachusetts Institute of Technology will design multimodal hardware and algorithms to model, monitor, and generate interpretable feedback on teamwork dynamics using data from cardiac procedures. The goal is to mitigate human...
- This $349,683 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an AI coaching system to enhance surgical teamwork in cardiac operating rooms. Led by William Marsh Rice University, the grant supports the design of multimodal sensing hardware, data-driven algorithms, and an interface to model and computationally generate interpretable feedback and interventions improving teamwork. Researchers will develop a...
- This National Science Foundation (NSF) Project Grant awarded under the Computer and Information Science and Engineering (CFDA 47.070) program provides $1,200,000 to the Regents of the University of Michigan to develop multimodal techniques to enhance intra- and post-operative learning and coordination between attending and resident surgeons. The key objectives are to: Collect and curate a dataset of up to 100 laparoscopic cholecystectomy surgeries, including surgeons' gaze, operating room...
- This federal Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) will fund the development and validation of an artificial intelligence (AI) surgical coaching system to enhance surgical performance and patient outcomes during ureteroscopy (URS) procedures. The $1,418,716 award to Brigham & Women's Hospital Inc., a subsidiary of...
- This is a $300,000 EAGER (Early-Concept Grants for Exploratory Research) project grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) to design neuro-adaptive technology for robotic-assisted surgery. The grant supports research to monitor surgeons' workload levels, understand the causes of mental overload, and develop interventions using an AI-powered multi-sensing system and context-awareness architecture. The goal is to refine remote surgery techniques to make...
- This $659,809 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of a novel system to identify cognitive and affective states, behavioral patterns, and contextual factors contributing to medical errors. The research team at Virginia Polytechnic Institute & State University (Virginia Tech) will implement multi-modal machine-learning algorithms leveraging data from...
- This Project Grant award, titled "ADVANCING INTELLIGENT COGNITIVE LOAD SENSING AND ADAPTIVE SCAFFOLDING TO SUPPORT COLLABORATIVE SIMULATION-BASED LEARNING IN HIGH-STAKES ENVIRONMENTS", is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $900,000 award, effective from October 1, 2025 to September 30, 2028, aims to develop methods for detecting and regulating cognitive load among healthcare...
- The National Science Foundation (NSF) awarded a $1,199,083 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University (CMU) to develop an AI-driven intervention system that uses multimodal sensing from a smartwatch to guide post-operative patients through recovery procedures. The system aims to help patients manage their recovery, including maintaining appropriate activity levels, pain management, and wound care, through...
- This Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities provides $149,913 to Clemson University under the Engineering program (CFDA 47.041) from October 1, 2022 to September 30, 2023. The funding supports a multidisciplinary team at Clemson University to understand attitudes and barriers regarding robotic-assisted surgical devices, integrate expert perspectives on challenges and opportunities for their adoption, validate a...
- This $149,680 National Science Foundation project grant supports the development of technologies to improve human-human and human-machine teaming in clinical environments at Virginia Polytechnic Institute and State University from October 2022 through September 2023. Funded under the Computer and Information Science and Engineering program, the research aims to build understanding of team dynamics in intensive care units where data-powered technologies are increasingly utilized. Through...
This $244,306 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an artificial intelligence-enabled coaching system to enhance surgical teamwork in cardiac operating rooms. Led by researchers at Brigham and Women's Hospital in Houston, Texas, the grant aims to design multimodal sensing hardware, data-driven algorithms, and an interface to monitor, assess, and improve collaboration among healthcare professionals during cardiac procedures. Key activities include creating a novel team Markov model to reflect the surgical team's mental models, as well as machine learning algorithms and explainable AI techniques to computationally generate interpretable feedback and interventions. The researchers will prototype and test usability through iterative user-centered design. Evaluation will leverage multi-modal expert-annotated data from surgical teamwork simulations. In addition to patient safety benefits, the project is expected to train students in smart health technologies and engage the public through a planned AI collaboration exhibit.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $244.3k | 8/20/22 |